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Learning Semantic Representations for Novel Words: Leveraging Both Form and Context
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Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings
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Rare Words: A Major Problem for Contextualized Embeddings And How to Fix it by Attentive Mimicking
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A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction
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Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts
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Analytical Methods for Interpretable Ultradense Word Embeddings
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Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging
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Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging ...
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Neural Architectures for Fine-Grained Propaganda Detection in News ...
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Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019 ...
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Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings ...
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Automatic Domain Adaptation Outperforms Manual Domain Adaptation for Predicting Financial Outcomes ...
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SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference ...
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A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction ...
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Analytical Methods for Interpretable Ultradense Word Embeddings ...
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Abstract:
Word embeddings are useful for a wide vari- ety of tasks, but they lack interpretability. By rotating word spaces, interpretable dimensions can be identified while preserving the informa- tion contained in the embeddings without any loss. In this work, we investigate three meth- ods for making word spaces interpretable by rotation: Densifier (Rothe et al., 2016), linear SVMs and DensRay, a new method we pro- pose. In contrast to Densifier, DensRay can be computed in closed form, is hyperparameter- free and thus more robust than Densifier. We evaluate the three methods on lexicon induc- tion and set-based word analogy. In addition we provide qualitative insights as to how inter- pretable word spaces can be used for removing gender bias from embeddings. ...
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URL: https://dx.doi.org/10.5282/ubm/epub.72192 https://epub.ub.uni-muenchen.de/id/eprint/72192
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Dialectic Behavioural Therapy has an impact on self- concept clarity and facets of self-esteem in women with Borderline Personality Disorder
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